In malicious URLs detection, traditional classifiers are challenged because the data volume is huge, patterns are changing over time, and the correlations among features are …
A Vaisman, E Zimányi - Data-Centric Systems and Applications, 2014 - Springer
Since the late 1970s, relational database technology has been adopted by most organizations to store their essential data. However, nowadays, the needs of these …
The dynamicity of RDF data has motivated the development of solutions for archiving, ie, the task of storing and querying previous versions of an RDF dataset. Querying the history of a …
Abstract The use of Semantic Web and linked data increases the possibility of data accessibility, interpretability, and interoperability. It supports cross‐domain data and …
JR Almeida, LB Silva, I Bos, PJ Visser… - Informatics in Medicine …, 2021 - Elsevier
Many clinical trials and scientific studies have been conducted aiming for better understanding of specific medical conditions. However, these studies are often based on a …
A Sabtu, NFM Azmi, NNA Sjarif… - … on Research and …, 2017 - ieeexplore.ieee.org
Organization with considerable investment into data warehousing, the influx of various data types and forms requires certain ways of prepping data and staging platform that support …
Big data and geographic information systems (GIS) are two technologies that have increasingly influenced many areas in the last 10 years and will continue to improve and …
JC Nwokeji, R Matovu - Intelligent Computing: Proceedings of the 2021 …, 2021 - Springer
Data analytics plays a vital role in contemporary organizations, through analytics, organizations are able to derive knowledge and intelligence from data to support strategic …
Exploratory OLAP aims at coupling the precision and detail of corporate data with the information wealth of LOD. While some techniques to create, publish, and query RDF cubes …